Emily Williams is a Senior Data Scientist with 12 years of experience building production-grade AI and bioinformatics systems that bridge R&D and clinical/operational use cases. She has led scalable Spark and Databricks pipelines for genomic diagnostics, supported regulatory validation efforts, and administers cloud ML infrastructure on AWS and SageMaker. Her work spans full-stack development, NGS pipeline engineering, time-series forecasting and NLP, often turning complex scientific models into maintainable code and deployable data products. Emily combines systems thinking with hands-on engineering—she's built trading algorithms feeding InfluxDB and live brokerage APIs as well as interactive dashboards that democratize model insights. A former founder and long-time bioinformatics engineer, she brings cross-domain fluency from mechanical engineering simulations to CRISPR/siRNA statistical modeling. Based in San Diego, she pairs technical leadership and mentorship with a knack for extracting critical signals from high-dimensional data.
12 years of coding experience
20 years of employment as a software developer
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Oregon State University
Substantial coursework toward a Master of Science (M.S.) Statistics, Substantial coursework toward a Master of Science (M.S.) Statistics at Texas A&M University
Contributions:42 pushes, 1 branch in 5 years 5 months
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